Marilyn Bello

18 papers B 1C 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Explainability in Context: A Multilevel Framework Aligning AI Explanations with Stakeholder with LLMs.
CoRR
Marilyn Bello, Rafael Bello, María-Matilde García, Ann Nowé, Iván Sevillano-García, Francisco Herrera
2025 J jnl
Meta-Explainers: A Unified Ensemble Approach for Multifaceted XAI.
Int. J. Intell. Syst.
Marilyn Bello, Rosalís Amador, María-Matilde García, Rafael Bello, Oscar Cordón, Francisco Herrera
2025 J jnl
The level of strength of an explanation: A quantitative evaluation technique for post-hoc XAI methods.
Pattern Recognit.
Marilyn Bello, Rosalís Amador, María-Matilde García, Javier Del Ser, Pablo Mesejo, Oscar Cordón
2024 J jnl
ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space.
Inf. Fusion
Marilyn Bello, Pablo Costa, Gonzalo Nápoles, Pablo Mesejo, Oscar Cordón
2024 J jnl
Forward Composition Propagation for Explainable Neural Reasoning.
IEEE Comput. Intell. Mag.
Isel Grau, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro, Agnieszka Jastrzebska
2024 J jnl
REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image.
Inf. Sci.
Marilyn Bello, Gonzalo Nápoles, Leonardo Concepción, Rafael Bello, Pablo Mesejo, Oscar Cordón
2022 B conf
Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation.
IJCNN
Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, María M. García, Rafael Bello
2021 J jnl
Data quality measures based on granular computing for multi-label classification.
Inf. Sci.
Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello
2021 J jnl
Forward Composition Propagation for Explainable Neural Reasoning.
CoRR
Isel Grau, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro
2021 — conf
Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections.
IWAIPR
Marilyn Bello, Yaumara Aguilera, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof
2021 J jnl
Long-term Cognitive Network-based architecture for multi-label classification.
Neural Networks
Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro
2020 J jnl
Deep neural network to extract high-level features and labels in multi-label classification problems.
Neurocomputing
Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Rafael Bello, Koen Vanhoof
2020 — conf
Feature and Label Association Based on Granulation Entropy for Deep Neural Networks.
IJCRS
Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Koen Vanhoof, Rafael Bello
2020 — conf
Outliers Detection in Multi-label Datasets.
MICAI (1)
Marilyn Bello, Gonzalo Nápoles, Rafael Morera, Koen Vanhoof, Rafael Bello
2019 — conf
Methods to Edit Multi-label Training Sets Using Rough Sets Theory.
IJCRS
Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello
2019 C conf
Prototypes Generation from Multi-label Datasets Based on Granular Computing.
CIARP
Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello
2019 — conf
Reduction Methods for Multi-Label Datasets Based on Granular Computing.
BNAIC/BENELEARN
Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello
2018 — conf
A Solution for the Team Selection Problem Using ACO.
ANTS Conference
Lázaro Lugo, Marilyn Bello, Ann Nowé, Rafael Bello